Study on Self-directed Innovation and Measurement of Self-directed Degree of Innovation
Bibliographic record
Abstract
The capacity of self- directed innovation is emphasized now. It can help to improve the competitive strength of a country or an organization. The article studied the connotation， characteristics， mode and the independent degree of self-directed innovation． The most important characteristic of self-directed innovation is independent which includes initiative， dominant power to obtain and control the innovation property and innovation income． Self-directed innovation has more efficiency than technological import. At the technological level，the self-directed degree of innovation can be evaluated by the proportion between the value of following patent technology and the total value of all patent technologies．At the firm， area， industry and country level， it can be evaluated comprehensively by the proportion between the value of technology input，intellectual property right，innovation rent and the total value. Key words: self-directed innovation, intellectual property right, Independent degree of innovation Resume: La capacite d’innovation autonome est accentuee maintenant. Elle peut aider a ameliorer la competitivite d’un pays ou d’une organisation. L’article present etudie la connotation, les caracteristiques, le mode et le degre d’independance de l’innovation autonome. La caracteristique la plus importante est son independance qui comprend l’initiative, la puissance dominante pour obtenir et controler la propriete d’innovation et le revenu d’innovation. L’innovation autonome est plus efficace que l’importation technologique. Au niveau technologique, le degre d’innovation autonome peut etre evalue par la proportion entre la valeur de la technologie suivante de brevet et la valeur totale des technologies de brevet. Au niveau de l’entreprise, de la region, de l’industrie et du pays, il peut etre evalue globalement par la proportion entre l’entree technologique, la propriete intellectuelle, le rendement d’innovation et la valeur totale. Mots-Cles: innovation autonome, propriete intellectuelle, degre d’independance de l’innovation
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".